ZipRecruiter

Log In

1

Full Stack Data Engineer Jobs in Howell, MI (NOW HIRING)

FastTek

Sr. Full Stack Developer

Farmington Hills, MI · On-site

Sr. Full Stack Developer #1048545 * We are looking for a Senior Full Stack Developer. * The ideal ... All personal data collected is used solely for recruitment purposes, and you have the right to know ...

FastTek

Sr Full Stack Java Developer

Farmington Hills, MI

$51.75 - $66.75/hr

Sr Full Stack Java Developer #1052033 * We are looking for a Senior Full stack Developer. The ideal ... All personal data collected is used solely for recruitment purposes, and you have the right to know ...

FastTek

Sr Full Stack Java Developer

Farmington Hills, MI

$51.75 - $66.75/hr

Sr Full Stack Java Developer #1049270 Summary: * We are looking for a Senior full stack Application ... All personal data collected is used solely for recruitment purposes, and you have the right to know ...

Autodesk

Principal Full Stack Engineer

Novi, MI · On-site

$139K - $249.26K/yr

... engineer to join our Connected Delivery platform team. This platform is responsible for enabling ... You'll be responsible for building a full-stack application that is resilient, scalable, and highly ...

RHP Properties

Data Platform Engineer

Farmington Hills, MI · On-site

$112.70K - $135.30K/yr

RHP Properties is seeking Data Platform Engineer to lead the design, implementation, and evolution ... Technology Stack The data platform environment includes technologies such as: * Microsoft Fabric ...

next page

Showing results 1-20

People also search for

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Howell, MI

Full Stack Data Engineer information

See Howell, MI salary details

$41.6K

$126.1K

$178.3K

How much do full stack data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for full stack data engineer in Howell, MI is $126,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $147,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What cities near Howell, MI are hiring for Full Stack Data Engineer jobs? Cities near Howell, MI with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you

Full Stack developer

Tech Tammina LLC

Farmington Hills, MI • On-site

Contractor

Posted 27 days ago

Job description

Role: Full Stack Developer

Location: Okemos, MI or Farmington Hills, MI (Hybrid)

Duration: Long term

Must have Technical Skills: 

  • Core Java 
  • Java EE  
  • RESTful Microservices  
  • Jersey 
  • SQL, PL/SQL 
  • Oracle Database 
  • Angular / Typescript / Node 
  • HTML/CSS 
  • Deep understanding of JVM, Profiling 

Nice to have technical skills: 

  • Github Copilot or other AI based development tools 
  • CI/CD processes 
  • DevOps methodologies 
  • Unix / Shell Scripts 
  • Docker 
  • Memcache / REDIS 
  • SAML 

Spring Framework